Limitations of the Farquhar–von Caemmerer–Berry Model in Estimating the Maximum Electron Transport Rate: Evidence from Four C3 Species
The study evaluates the accuracy of two FvCB model sub-models (I and II) in estimating the maximum electron transport rate for CO<sub>2</sub> assimilation (<i>J</i><sub>A-max</sub>) by comparing estimated values with observed maximum electron transport rates (<i>J</i><sub>f-max</sub>) in four C<sub>3</sub> species: <i>Triticum aestivum</i> L., <i>Silphium perfoliatum</i> L., <i>Lolium perenne</i> L., and <i>Trifolium pratense</i> L. Significant discrepancies were found between <i>J</i><sub>A-max</sub> estimates from sub-model I and observed <i>J</i><sub>f-max</sub> values for <i>T. aestivum</i>, <i>S. perfoliatum</i>, and <i>T. pratense</i> (<i>p</i> < 0.05), with sub-model I overestimating <i>J</i><sub>A-max</sub> for <i>T. aestivum</i>. Sub-model II consistently produced higher <i>J</i><sub>A-max</sub> estimates than sub-model I. This study highlights limitations in the FvCB sub-models, particularly their tendency to overestimate <i>J</i><sub>A-max</sub> when accounting for electron consumption by photorespiration (<i>J</i><sub>O</sub>), nitrate reduction (<i>J</i><sub>Nit</sub>), and the Mehler reaction (<i>J</i><sub>MAP</sub>). An alternative empirical model provided more accurate <i>J</i><sub>f-max</sub> estimates, suggesting the need for improved approaches to model photosynthetic electron transport. These findings have important implications for crop yield prediction, ecological modeling, and climate change adaptation strategies, emphasizing the need for more accurate estimation methods in plant physiology research.
Authors
- Piotr Robakowski (ORCID: https://orcid.org/0000-0001-5564-7360)
- Zi‐Piao Ye (ORCID: https://orcid.org/0000-0002-7598-1822)
- Xiaolong Yang
- Shuangxi Zhou (ORCID: https://orcid.org/0000-0003-2930-2910)
- Fubiao Wang (ORCID: https://orcid.org/0000-0001-8596-7664)
- Wenhai Hu
- Hua-Jing Kang
- Yian Xiao (ORCID: https://orcid.org/0000-0003-1905-2225)
- Ting An (ORCID: https://orcid.org/0009-0007-7193-7828)
Institutions
- Jinggangshan University (CN)
- Chinese Academy of Sciences (CN)
- Nantong University (CN)
- ZheJiang Academy of Agricultural Sciences (CN)
- Research Center for Eco-Environmental Sciences (CN)
- University of Life Sciences in Poznań (PL)
- Jiangxi Agricultural University (CN)
- Macquarie University (AU)
Publication Details
- Journal
- Biology
- Published
- 2025-05-29
- DOI
- https://doi.org/10.3390/biology14060630
- Citations
- 5
- Primary Topic
- Spectroscopy and Quantum Chemical Studies
- Type
- article
- Field-Weighted Citation Impact
- 6.23
Funders
- National Natural Science Foundation of China